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Using the affordance concept for model design in agent-based simulation

Overview of attention for article published in Annals of Mathematics and Artificial Intelligence, April 2016
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1 X user

Citations

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Readers on

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31 Mendeley
Title
Using the affordance concept for model design in agent-based simulation
Published in
Annals of Mathematics and Artificial Intelligence, April 2016
DOI 10.1007/s10472-016-9511-0
Authors

Franziska Klügl

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 31 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 31 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 8 26%
Student > Bachelor 5 16%
Researcher 4 13%
Professor 2 6%
Student > Master 1 3%
Other 1 3%
Unknown 10 32%
Readers by discipline Count As %
Computer Science 9 29%
Social Sciences 2 6%
Mathematics 1 3%
Economics, Econometrics and Finance 1 3%
Psychology 1 3%
Other 6 19%
Unknown 11 35%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 17 August 2016.
All research outputs
#19,246,640
of 23,849,058 outputs
Outputs from Annals of Mathematics and Artificial Intelligence
#111
of 133 outputs
Outputs of similar age
#221,835
of 301,183 outputs
Outputs of similar age from Annals of Mathematics and Artificial Intelligence
#2
of 2 outputs
Altmetric has tracked 23,849,058 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 133 research outputs from this source. They receive a mean Attention Score of 2.5. This one is in the 7th percentile – i.e., 7% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 301,183 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 15th percentile – i.e., 15% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 2 others from the same source and published within six weeks on either side of this one.